Which AI models does this skill support for image generation?

The skill supports OpenAI (DALL-E), Google (Imagen/Multimodal), and Alibaba DashScope (Tongyi Wanxiang) models.

How do I specify the aspect ratio for my images?

You can use the --ar flag followed by your desired ratio, such as 16:9, 1:1, 4:3, or 9:16.

Does this skill support using existing images as a reference?

Yes, when using the Google provider, you can use the --ref flag to include one or more reference images to guide the generation.

Where are the API keys stored?

The skill looks for API keys in your environment variables or in .env files located in your project or home directory (~/.baoyu-skills/.env).

Can I generate multiple images simultaneously?

By default, it generates images sequentially for stability, but you can explicitly request parallel generation for large batches of 10 or more images.

Baoyu Image Generator

Name: Baoyu Image Generator
Author: JimLiu

byJimLiu

•

3,229

Design Tools

Generates high-quality AI images using OpenAI, Google, and DashScope APIs directly within the Claude Code environment.

About

This skill empowers developers and creators to generate professional-grade visual assets without leaving the command line. By integrating with major providers like OpenAI, Google Imagen, and Alibaba's DashScope, it offers a versatile toolkit for text-to-image generation, supporting custom aspect ratios, quality presets up to 4K, and multimodal reference images. It is particularly useful for creating UI placeholders, marketing graphics, or blog illustrations, featuring an intelligent provider selection system and support for high-concurrency parallel generation when handling large batches.

Key Features

High-resolution support with 1K, 2K, and 4K quality presets
3,229 GitHub stars
Multimodal reference image support for guided generation (Google provider)
Advanced aspect ratio control including 16:9, 9:16, 4:3, and 2.35:1
Multi-provider integration (OpenAI, Google, and DashScope/Tongyi Wanxiang)
Configurable parallel generation for high-volume image batching

Use Cases

Creating high-resolution blog covers and social media assets from Markdown prompts
Automating batch image generation for game assets or marketing campaigns
Generating UI/UX placeholders and icons during the frontend development process

About

Key Features

High-resolution support with 1K, 2K, and 4K quality presets
3,229 GitHub stars
Multimodal reference image support for guided generation (Google provider)
Advanced aspect ratio control including 16:9, 9:16, 4:3, and 2.35:1
Multi-provider integration (OpenAI, Google, and DashScope/Tongyi Wanxiang)
Configurable parallel generation for high-volume image batching

Use Cases

Creating high-resolution blog covers and social media assets from Markdown prompts
Automating batch image generation for game assets or marketing campaigns
Generating UI/UX placeholders and icons during the frontend development process